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3.
Rio de Janeiro; SES-RJ; 26/02/2022. 23 p.
Non-conventional in Portuguese | LILACS, SES-RJ | ID: biblio-1391063

ABSTRACT

Esta edição do boletim apresenta a análise do total de casos confirmados de COVID-19 de residentes no estado do Rio de Janeiro e suas nove regiões de saúde, incluindo os casos de Síndrome Gripal (SG) ou casos leves, as internações ou casos de Síndrome Respiratória Aguda Grave (SRAG) e os óbitos, ocorridos desde o início da pandemia em 2020 até 26 de fevereiro de 2022 (8ª Semana Epidemiológica).


Subject(s)
Public Health/standards , Severe Acute Respiratory Syndrome/complications , Brazilian Health Surveillance Agency , SARS-CoV-2/pathogenicity , Respiratory Tract Infections/mortality , Specimen Handling/statistics & numerical data , Vaccination Coverage/standards , COVID-19/diagnosis , COVID-19/prevention & control , Health Services Research/classification
4.
Ann Clin Lab Sci ; 51(6): 852-860, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34921039

ABSTRACT

OBJECTIVE: Rubella is a highly contagious viral disease with a significant teratogenic effect. Various results have been published about the seroprevalence of rubella in Iran. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)-systematic review and meta-analysis were conducted to assess the immunity against rubella in Iranian women. METHODS: Eleven English and Persian electronic databases including PubMed, ScienceDirect, Scopus, Web of Science, Google Scholar, Embase, Scientific Information Database, Iran doc, Iran Medex, Magiran, and Medlib were searched using the keywords: Epidemiology, Prevalence, Rubella, Women, Childbearing age, Reproductive age, and Iran. A mathematician (NS) reviewed all steps for accuracy. RESULTS: Out of 1,520 articles, 25 well-conducted studies with a total amount of 10,145 women were reviewed. The pooled prevalence rate of anti-rubella IgG was 84% (95% CI: 83%-86%). The highest prevalence rate of IgG was in Zahedan, Rasht, and Arak (each 100%), while the lowest prevalence was in Jahrom (54%). Subgroup analysis showed that from 1989 through 2012, the IgG prevalence rate increased from 78% (95% CI: 73-83%) to 99% (95% CI: 98 100%). CONCLUSIONS: Although the vaccination program seems working in Iran, some peripheral regions may be a target to improve health care policies.


Subject(s)
Antibodies, Viral/blood , Rubella , Vaccination Coverage , Adult , Disease Notification/methods , Disease Notification/statistics & numerical data , Female , Health Services Needs and Demand , Humans , Iran/epidemiology , Prevalence , Rubella/diagnosis , Rubella/epidemiology , Rubella/immunology , Rubella/prevention & control , Seroepidemiologic Studies , Vaccination Coverage/organization & administration , Vaccination Coverage/standards
8.
Br J Hosp Med (Lond) ; 82(2): 1-4, 2021 Feb 02.
Article in English | MEDLINE | ID: mdl-33646036

ABSTRACT

The UK government recently decided to extend the interval between the first dose of the Pfizer BioNTech and AstraZeneca COVID-19 vaccines from 3 weeks to 12 weeks to maximise the number of people receiving the initial dose, despite the trials only providing vaccine efficacy data based on a schedule of 21 days between doses. This editorial discusses whether there is evidence to support this policy change.


Subject(s)
COVID-19 Vaccines , COVID-19 , Immunogenicity, Vaccine , Vaccination Coverage , Vaccination , COVID-19/epidemiology , COVID-19/immunology , COVID-19/prevention & control , COVID-19 Vaccines/administration & dosage , COVID-19 Vaccines/immunology , Drug Administration Schedule , Evidence-Based Medicine/methods , Evidence-Based Medicine/standards , Government Regulation , Health Policy/legislation & jurisprudence , Humans , Policy Making , SARS-CoV-2 , United Kingdom/epidemiology , Vaccination/methods , Vaccination/standards , Vaccination/statistics & numerical data , Vaccination Coverage/methods , Vaccination Coverage/standards
10.
PLoS One ; 16(2): e0247415, 2021.
Article in English | MEDLINE | ID: mdl-33635913

ABSTRACT

In 2015, the World Health Organization substantially revised its guidance for vaccination coverage cluster surveys (revisions were finalized in 2018) and has since developed a set of accompanying resources, including definitions for standardized coverage indicators and software (named the Vaccination Coverage Quality Indicators-VCQI) to calculate them.-The current WHO vaccination coverage survey manual was used to design and conduct two nationally representative vaccination coverage surveys in Nigeria-one to assess routine immunization and one to measure post-measles campaign coverage. The primary analysis for both surveys was conducted using VCQI. In this paper, we describe those surveys and highlight some of the analyses that are facilitated by the new resources. In addition to calculating coverage of each vaccine-dose by age group, VCQI analyses provide insight into several indicators of program quality such as crude coverage versus valid doses, vaccination timeliness, missed opportunities for simultaneous vaccination, and, where relevant, vaccination campaign coverage stratified by several parameters, including the number of previous doses received. The VCQI software furnishes several helpful ways to visualize survey results. We show that routine coverage of all vaccines is far below targets in Nigeria and especially low in northeast and northwest zones, which also have highest rates of dropout and missed opportunities for vaccination. Coverage in the 2017 measles campaign was higher and showed less geospatial variation than routine coverage. Nonetheless, substantial improvement in both routine program performance and campaign implementation will be needed to achieve disease control goals.


Subject(s)
Immunization Programs/standards , Measles Vaccine/administration & dosage , Measles/prevention & control , Vaccination Coverage/standards , Child, Preschool , Cluster Analysis , Guidelines as Topic , Humans , Immunization Programs/methods , Infant , Nigeria , Software , Surveys and Questionnaires , Vaccination Coverage/methods , World Health Organization
11.
Diagn Microbiol Infect Dis ; 99(3): 115282, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33341491

ABSTRACT

To assess the coverage of invasive Streptococcus pneumoniae by pneumococcal conjugate vaccines (PCV)-10 and PCV-13 across Canada. In total, 9166 invasive S. pneumoniae isolates were collected as part of the SAVE 2011 to 2017 study. Serotyping was performed by the Quellung reaction and antimicrobial susceptibility testing was performed using CLSI methods. The proportion of both PCV-10 and PCV-13 serotypes decreased significantly (P < 0.0001) from 2011 (26.7% and 48.0%, respectively) to 2017 (11.2% and 26.2%). For central, western, and eastern regions of Canada, PCV-13 provided significantly greater (P < 0.0001) coverage at 33.7% (2060/6110), 23.0% (456/1985), and 36.3% (389/1071), respectively, compared to PCV-10 at 15.4% (939/6110), 10.1% (201/1985), and 15.8% (169/1071) coverage. PCV-13 provided significantly greater coverage (53.3%, 282/529) of multidrug-resistant (MDR) isolates (resistant to ≥3 antimicrobial classes) than PCV-10 (14.6%, 77/529, P < 0.0001). PCV-13 provided significantly greater coverage of invasive S. pneumoniae serotypes, as well as coverage of MDR isolates, than PCV-10.


Subject(s)
Pneumococcal Infections/prevention & control , Pneumococcal Vaccines/administration & dosage , Streptococcus pneumoniae/isolation & purification , Vaccination Coverage/statistics & numerical data , Adolescent , Adult , Aged , Anti-Bacterial Agents/pharmacology , Canada , Child , Child, Preschool , Drug Resistance, Multiple, Bacterial , Female , Geography , Humans , Infant , Infant, Newborn , Male , Middle Aged , Serogroup , Serotyping , Streptococcus pneumoniae/classification , Streptococcus pneumoniae/drug effects , Streptococcus pneumoniae/pathogenicity , Vaccination Coverage/standards , Young Adult
12.
PLoS One ; 15(8): e0237913, 2020.
Article in English | MEDLINE | ID: mdl-32817630

ABSTRACT

BACKGROUND: In November 2016, the Kenya National Vaccines and Immunization Programme conducted an assessment of missed opportunities for vaccination (MOV) using the World Health Organization (WHO) MOV methodology. A MOV includes any contact with health services during which an eligible individual does not receive all the vaccine doses for which he or she is eligible. METHODS: The MOV assessment in Kenya was conducted in 10 geographically diverse counties, comprising exit interviews with caregivers and knowledge, attitudes, and practices (KAP) surveys with health workers. On the survey dates, which covered a 4-day period in November 2016, all health workers and caregivers visiting the selected health facilities with children <24 months of age were eligible to participate. Health facilities (n = 4 per county) were purposively selected by size, location, ownership, and performance. We calculated the proportion of MOV among children eligible for vaccination and with documented vaccination histories (i.e., from a home-based record or health facility register), and stratified MOV by age and reason for visit. Timeliness of vaccine doses was also calculated. RESULTS: We conducted 677 age-eligible children exit interviews and 376 health worker KAP surveys. Of the 558 children with documented vaccination histories, 33% were visiting the health facility for a vaccination visit and 67% were for other reasons. A MOV was seen in 75% (244/324) of children eligible for vaccination with documented vaccination histories, with 57% (186/324) receiving no vaccinations. This included 55% of children visiting for a vaccination visit and 93% visiting for non-vaccination visits. Timeliness for multi-dose vaccine series doses decreased with subsequent doses. Among health workers, 25% (74/291) were unable to correctly identify the national vaccination schedule for vaccines administered during the first year of life. Among health workers who reported administering vaccines as part of their daily work, 39% (55/142) reported that they did not always have the materials they needed for patients seeking immunization services, such as vaccines, syringes, and vaccination recording documents. CONCLUSIONS: The MOV assessment in Kenya highlighted areas of improvement that could reduce MOV. The results suggest several interventions including standardizing health worker practices, implementing an orientation package for all health workers, and developing a stock management module to reduce stock-outs of vaccines and vaccination-related supplies. To improve vaccination coverage and equity in all counties in Kenya, interventions to reduce MOV should be considered as part of an overall immunization service improvement plan.


Subject(s)
Health Knowledge, Attitudes, Practice , Health Services , Vaccination/standards , Vaccines/therapeutic use , Caregivers/psychology , Child , Child, Preschool , Community Health Workers , Female , Health Facilities , Health Personnel/psychology , Humans , Immunization Programs/standards , Immunization Schedule , Infant , Interviews as Topic , Kenya/epidemiology , Male , Surveys and Questionnaires , Vaccination Coverage/standards , World Health Organization
13.
PLoS Med ; 17(8): e1003238, 2020 08.
Article in English | MEDLINE | ID: mdl-32810149

ABSTRACT

BACKGROUND: It is estimated that vaccinating 50%-70% of school-aged children for influenza can produce population-wide indirect effects. We evaluated a city-wide school-located influenza vaccination (SLIV) intervention that aimed to increase influenza vaccination coverage. The intervention was implemented in ≥95 preschools and elementary schools in northern California from 2014 to 2018. Using a matched cohort design, we estimated intervention impacts on student influenza vaccination coverage, school absenteeism, and community-wide indirect effects on laboratory-confirmed influenza hospitalizations. METHODS AND FINDINGS: We used a multivariate matching algorithm to identify a nearby comparison school district with pre-intervention characteristics similar to those of the intervention school district and matched schools in each district. To measure student influenza vaccination, we conducted cross-sectional surveys of student caregivers in 22 school pairs (2017 survey, N = 6,070; 2018 survey, N = 6,507). We estimated the incidence of laboratory-confirmed influenza hospitalization from 2011 to 2018 using surveillance data from school district zip codes. We analyzed student absenteeism data from 2011 to 2018 from each district (N = 42,487,816 student-days). To account for pre-intervention differences between districts, we estimated difference-in-differences (DID) in influenza hospitalization incidence and absenteeism rates using generalized linear and log-linear models with a population offset for incidence outcomes. Prior to the SLIV intervention, the median household income was $51,849 in the intervention site and $61,596 in the comparison site. The population in each site was predominately white (41% in the intervention site, 48% in the comparison site) and/or of Hispanic or Latino ethnicity (26% in the intervention site, 33% in the comparison site). The number of students vaccinated by the SLIV intervention ranged from 7,502 to 10,106 (22%-28% of eligible students) each year. During the intervention, influenza vaccination coverage among elementary students was 53%-66% in the comparison district. Coverage was similar between the intervention and comparison districts in influenza seasons 2014-2015 and 2015-2016 and was significantly higher in the intervention site in seasons 2016-2017 (7%; 95% CI 4, 11; p < 0.001) and 2017-2018 (11%; 95% CI 7, 15; p < 0.001). During seasons when vaccination coverage was higher among intervention schools and the vaccine was moderately effective, there was evidence of statistically significant indirect effects: The DID in the incidence of influenza hospitalization per 100,000 in the intervention versus comparison site was -17 (95% CI -30, -4; p = 0.008) in 2016-2017 and -37 (95% CI -54, -19; p < 0.001) in 2017-2018 among non-elementary-school-aged individuals and -73 (95% CI -147, 1; p = 0.054) in 2016-2017 and -160 (95% CI -267, -53; p = 0.004) in 2017-2018 among adults 65 years or older. The DID in illness-related school absences per 100 school days during the influenza season was -0.63 (95% CI -1.14, -0.13; p = 0.014) in 2016-2017 and -0.80 (95% CI -1.28, -0.31; p = 0.001) in 2017-2018. Limitations of this study include the use of an observational design, which may be subject to unmeasured confounding, and caregiver-reported vaccination status, which is subject to poor recall and low response rates. CONCLUSIONS: A city-wide SLIV intervention in a large, diverse urban population was associated with a decrease in the incidence of laboratory-confirmed influenza hospitalization in all age groups and a decrease in illness-specific school absence rate among students in 2016-2017 and 2017-2018, seasons when the vaccine was moderately effective, suggesting that the intervention produced indirect effects. Our findings suggest that in populations with moderately high background levels of influenza vaccination coverage, SLIV programs are associated with further increases in coverage and reduced influenza across the community.


Subject(s)
Absenteeism , Influenza Vaccines/administration & dosage , School Health Services/standards , Urban Population , Vaccination Coverage/standards , Vaccination/standards , Adolescent , California/epidemiology , Child , Child, Preschool , Cohort Studies , Cross-Sectional Studies , Female , Humans , Influenza, Human/epidemiology , Influenza, Human/prevention & control , Male , Schools/standards , Students , Vaccination/methods , Vaccination Coverage/methods
14.
CA Cancer J Clin ; 70(4): 274-280, 2020 07.
Article in English | MEDLINE | ID: mdl-32639044

ABSTRACT

The American Cancer Society (ACS) presents an adaptation of the current Advisory Committee on Immunization Practices recommendations for human papillomavirus (HPV) vaccination. The ACS recommends routine HPV vaccination between ages 9 and 12 years to achieve higher on-time vaccination rates, which will lead to increased numbers of cancers prevented. Health care providers are encouraged to start offering the HPV vaccine series at age 9 or 10 years. Catch-up HPV vaccination is recommended for all persons through age 26 years who are not adequately vaccinated. Providers should inform individuals aged 22 to 26 years who have not been previously vaccinated or who have not completed the series that vaccination at older ages is less effective in lowering cancer risk. Catch-up HPV vaccination is not recommended for adults aged older than 26 years. The ACS does not endorse the 2019 Advisory Committee on Immunization Practices recommendation for shared clinical decision making for some adults aged 27 through 45 years who are not adequately vaccinated because of the low effectiveness and low cancer prevention potential of vaccination in this age group, the burden of decision making on patients and clinicians, and the lack of sufficient guidance on the selection of individuals who might benefit.


Subject(s)
Immunization Schedule , Mass Vaccination/standards , Neoplasms/prevention & control , Papillomavirus Infections/prevention & control , Papillomavirus Vaccines/administration & dosage , Adolescent , Adult , Advisory Committees/standards , Alphapapillomavirus/immunology , Alphapapillomavirus/pathogenicity , American Cancer Society/organization & administration , Child , Clinical Competence , Female , Health Personnel/education , Health Plan Implementation/organization & administration , Health Plan Implementation/standards , Humans , Intersectoral Collaboration , Mass Vaccination/organization & administration , Middle Aged , Neoplasms/pathology , Neoplasms/virology , Papillomavirus Infections/pathology , Papillomavirus Infections/virology , United States , Vaccination Coverage/organization & administration , Vaccination Coverage/standards , Young Adult
15.
Pan Afr Med J ; 35(Suppl 1): 8, 2020.
Article in English | MEDLINE | ID: mdl-32373259

ABSTRACT

INTRODUCTION: Guinea, Sierra Leone and Liberia have attained significant reduction in measles incidence between 2004 and 2013. The Ebola outbreak in 2014-2015 in West Africa caused significant disruption of the health service delivery in the three worst affected countries. The magnitude of the impact on the immunization program has not been well documented. METHODS: We reviewed national routine immunization administrative coverage data as well as measles surveillance performance and measles epidemiology in the years before, during and after the EVD outbreak in Guinea, Liberia, Sierra Leone. RESULTS: Both Liberia and Guinea experienced a sharp decline of more than 25% in the monthly number of children vaccinated against measles in 2014 and 2015 as compared to the previous years, while there was no reported decline in Sierra Leone. Guinea and Liberia experienced a decline in measles surveillance activity and performance indicators in 2014 and 2015. During this period, there was an increase in measles incidence and a decline in the mean age of measles cases reported in Liberia and Sierra Leone. Guinea started reporting high measles incidence in 2016. All three countries organized measles supplemental immunization activities by June 2015. Liberia achieved 99% administrative coverage, while Guinea and Sierra Leone attained 90.6% and 97.2% coverage respectively. There were no severe adverse events reported during these mass vaccination activities. The disruptive effect of the Ebola outbreak on immunization services was especially evident in Guinea and Liberia. Our review of the reported administrative vaccination coverage at national level does not show significant decline in measles first dose vaccination coverage in Sierra Leone as compared to other reports. This may be due to inaccuracies in coverage monitoring and data quality problems. The increases in measles transmission and incidence in these three countries can be explained by the rapid accumulation of susceptible children. Despite the organization of mass vaccination activities, measles incidence through 2017 has remained higher than the pre-Ebola period in all three countries. CONCLUSION: The Ebola outbreak in West Africa significantly affected measles vaccination coverage rates in two of the three worst affected countries, and led to persistent gaps in coverage, along with high measles incidence that was documented until two years after the end of the Ebola outbreak. Liberia and Sierra Leone have demonstrated coverage improvements after the end of the Ebola outbreak.


Subject(s)
Disease Eradication/organization & administration , Disease Outbreaks , Hemorrhagic Fever, Ebola/epidemiology , Immunization Programs/organization & administration , Measles/prevention & control , Vaccination Coverage/statistics & numerical data , Child , Child, Preschool , Delivery of Health Care/methods , Delivery of Health Care/organization & administration , Delivery of Health Care/standards , Disease Eradication/methods , Disease Eradication/standards , Guinea/epidemiology , Humans , Immunization Programs/standards , Immunization Programs/statistics & numerical data , Infant , Liberia/epidemiology , Mass Vaccination/organization & administration , Mass Vaccination/standards , Mass Vaccination/statistics & numerical data , Measles/epidemiology , Population Surveillance , Retrospective Studies , Sierra Leone/epidemiology , Vaccination Coverage/organization & administration , Vaccination Coverage/standards
16.
Pan Afr Med J ; 35(Suppl 1): 15, 2020.
Article in English | MEDLINE | ID: mdl-32373266

ABSTRACT

The recent setbacks in efforts to achieve measles elimination goals are alarming. To reverse the current trends, it is imperative that the global health community urgently intensify efforts and make resource commitments to implement evidence-based elimination strategies fully, including supporting research and innovations. The Immunization Agenda 2030: A Global Strategy to Leave No One Behind (IA2030) is the new global guidance document that builds on lessons learned and progress made toward the GVAP goals, includes research and innovation as a core strategic priority, and identifies measles as a "tracer" for improving immunisation services and strengthening primary health care systems. To achieve vaccination coverage and equity targets that leave no one behind, and accelerate progress toward disease eradication and elimination goals, sustained and predictable investments are needed for the identified research and innovations priorities for the new decade.


Subject(s)
Disease Outbreaks/statistics & numerical data , Immunization/economics , Inventions/economics , Investments , Measles/epidemiology , Measles/prevention & control , Disease Eradication/economics , Disease Eradication/organization & administration , Disease Eradication/standards , Disease Outbreaks/economics , Disease Outbreaks/prevention & control , Fund Raising/methods , Fund Raising/trends , Global Health/economics , Global Health/standards , Global Health/statistics & numerical data , Humans , Immunization/methods , Immunization Programs/economics , Immunization Programs/methods , Immunization Programs/organization & administration , Incidence , Inventions/trends , Investments/economics , Investments/organization & administration , Investments/trends , Measles/economics , Measles Vaccine/economics , Measles Vaccine/therapeutic use , Vaccination Coverage/economics , Vaccination Coverage/organization & administration , Vaccination Coverage/standards
17.
Reumatol. clín. (Barc.) ; 16(2,pt.1): 97-102, mar.-abr. 2020. tab, graf
Article in Spanish | IBECS | ID: ibc-194327

ABSTRACT

OBJETIVO: Conocer las coberturas de vacunación frente a gripe estacional y neumococo en pacientes reumatológicos con terapia biológica. Identificar las variables que predicen adherencia a la vacunación. MATERIAL Y MÉTODO: Estudio transversal. Se incluyeron los pacientes reumatológicos que iniciaron terapia biológica entre el 01/01/2016 y el 31/12/2016 en un hospital autonómico de referencia. Se recogieron variables sociodemográficas, relacionadas con el diagnóstico, médico prescriptor, derivación a la Unidad de Vacunas y vacunación frente a neumococo con vacuna conjugada de 13 serotipos (VNC13) y polisacárida de 23 serotipos (VNP23), así como gripe estacional (2016/17). Se realizó análisis univariante, bivariante (Chi-cuadrado) y multivariante (regresión logística). Se consideró significativa una p < 0,05 y se utilizó el programa PASW V.18. RESULTADOS: Se incluyeron 222 pacientes. Las coberturas de vacunación fueron: VNC13, 80,2%; VNP23v, 77,9%; gripe 2016/17, 78,8%; VNC13 + VNP23, 75,2%; VNC13 + VNP23 + gripe 2016/17, 68,9%. La espondilitis axial registró las coberturas más altas (>80%) para la vacunación antineumocócica y en combinación con la antigripal. El 27% de los pacientes no fueron derivados a la Unidad. El médico prescriptor se asoció de manera estadísticamente significativa con cada una de las vacunas y sus combinaciones, pero fue la derivación a la Unidad de Vacunas la que se asoció de manera independiente con las mayores coberturas de vacunación (p < 0,001) en todos los casos. CONCLUSIONES: Comparando con la literatura científica, consideramos que las coberturas frente a neumococo y gripe en estos pacientes son elevadas. La derivación de estos pacientes a la Unidad de Vacunas resulta clave para garantizar una correcta inmunización y minimizar así algunos de los posibles efectos adversos infecciosos de las terapias biológicas


OBJECTIVE: Vaccination coverage for seasonal influenza and pneumococcus in rheumatology patients receiving biological treatment. To identify variables that predict vaccination adherence. MATERIAL AND METHOD: Descriptive cross-sectional study. The study involved rheumatology patients who initiated biological therapy between 01/01/2016 and 12/31/2016 in a regional referral hospital. Variables included sociodemographic information, diagnostic data, treating physician, referral to the vaccine unit and vaccination against pneumococcus with 13-valent pneumococcal conjugate vaccine (PCV13) and 23-valent pneumococcal polysaccharide vaccine (PPSV23), as well as seasonal influenza (2016/17). Univariate, bivariate (Chi-square) and multivariate analysis (logistic regression) were performed. The differences were considered significant (P<.05) and the PASW V.18 software package was used. RESULTS: In all, 222 patients were included. Vaccination coverage was: PCV13, 80.2%; PPSV23, 77.9%; influenza 2016/17, 78.8%; PCV13 + PPSV23, 75.2%; PCV13 + PPSV23 + influenza 2016/17, 68.9%. Axial spondylitis had the highest coverage (>80%) for pneumococcal vaccination and combination of pneumococcal with influenza. Overall, 27% of the patients were not referred to the unit. The treating physician was associated with statistical significance in each vaccine alone or combined, but referral to the vaccine unit was independently associated with the highest vaccination coverage (P<.001) in all cases. CONCLUSIONS: Compared to the scientific literature, we consider that the coverage of our patients against pneumococcus and influenza is high. Referral of these patients to the vaccine unit is the key to guarantee a correct immunization and to minimize some of the possible infectious adverse effects of biological therapies


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Vaccination Coverage/standards , Biological Therapy , Pneumococcal Vaccines/administration & dosage , Influenza Vaccines/administration & dosage , Cross-Sectional Studies , Logistic Models
18.
Eur J Pediatr ; 179(4): 547-553, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32072304

ABSTRACT

Worldwide, lifestyle and resource disparities among adolescents contribute to unmet health needs, which have crucial present and future public health implications for both adolescents and broader communities. Risk of infection among adolescents is amplified by biological, behavioral, and environmental factors; however, infectious diseases to which adolescents are susceptible are often preventable with vaccines. Beyond these concerns, there is a lack of knowledge regarding adolescent vaccination and disease risk among parents and adolescents, which can contribute to low vaccine uptake. Promising efforts have been made to improve adolescent vaccination by programs with motivational drivers and comprehensive communication with the public. In May 2017, a multidisciplinary group of experts met in Amsterdam, Netherlands, to discuss adolescent vaccine uptake, as part of an educational initiative called the Advancing Adolescent Health Spring Forum. This article presents consensus opinions resulting from the meeting, which pertain to the burden of vaccine-preventable diseases among adolescents, reasons for low vaccine uptake, and common characteristics of successful strategies for improving adolescent vaccination.Conclusion: There is an urgent "call to action," particularly targeting healthcare providers and public health authorities, for the prioritization of adolescent vaccination as a necessary element of preventive healthcare in this age group.What is Known:• Despite increased risk of certain infectious diseases, adolescent vaccination uptake remains low.What is New:• Barriers to adolescent vaccine uptake include lack of information regarding vaccines and disease risk, health system inadequacies, and insufficient healthcare follow-up.• Successful efforts to improve adolescent vaccine uptake need cohesive leadership and involvement of multiple stakeholders, as well as youth-friendly messaging; healthcare providers and policymakers should prioritize adolescent vaccination and implement proven program strategies to improve adolescent health worldwide.


Subject(s)
Adolescent Health , Health Knowledge, Attitudes, Practice , Vaccination Coverage/standards , Adolescent , Consensus , Global Health , Humans , Public Health/standards
19.
J Infect Dis ; 221(12): 2026-2034, 2020 06 11.
Article in English | MEDLINE | ID: mdl-31545372

ABSTRACT

BACKGROUND: Yellow fever (YF) is a vector-borne viral hemorrhagic disease endemic in Africa and Latin America. In 2016, the World Health Organization (WHO) developed the Eliminate YF Epidemics strategy aiming at eliminating YF epidemics by 2026. METHODS: We developed a spatiotemporal model of YF, accounting for the impact of temperature, vector distribution, and socioeconomic factors on disease transmission. We validated our model against previous estimates of YF basic reproductive number (R0). We used the model to estimate global risk of YF outbreaks and vaccination efforts needed to achieve elimination of YF epidemics. RESULTS: We showed that the global risk of YF outbreaks is highly heterogeneous. High-risk transmission areas (R0 > 6) are mainly found in West Africa and the Equatorial region of Latin America. We showed that vaccination coverage needed to eliminate YF epidemics in an endemic country varies substantially between districts. In many endemic countries, a 90% vaccination coverage is needed to achieve elimination. However, in some high-risk districts in Africa, a 95% coverage may be required. CONCLUSIONS: Global elimination of YF epidemics requires higher population-level immunity than the 80% coverage recommended by the WHO. Optimal YF vaccination strategy should be tailored to the risk profile of each endemic country.


Subject(s)
Disease Eradication , Endemic Diseases/prevention & control , Epidemics/prevention & control , Yellow Fever Vaccine/administration & dosage , Yellow Fever/epidemiology , Africa , Americas , Humans , Latin America , Models, Statistical , Mosquito Vectors/virology , Risk Assessment , Seasons , Spatio-Temporal Analysis , Vaccination Coverage/standards , World Health Organization , Yellow Fever/prevention & control , Yellow Fever/transmission , Yellow Fever/virology , Yellow fever virus/immunology , Yellow fever virus/isolation & purification
20.
Rev Med Interne ; 41(7): 446-450, 2020 Jul.
Article in French | MEDLINE | ID: mdl-31883837

ABSTRACT

PURPOSE: To evaluate the rate of seasonal influenza vaccination coverage (IVC) in incident giant cell arteritis (GCA) patients compared with controls. METHODS: The vaccination rate was estimated from vaccine dispensation. IVC was compared between GCA and their controls using longitudinal multivariate Poisson regression. RESULTS: During the influenza campaigns from 2005-2006 to 2010-2011, the IVC rates in the GCA group and the control group ranged from 60.8 to 74.7% vs. 56.6 to 70.4%, respectively. Incident GCA influenza vaccination rate was 20% higher than controls (RR=1.20 ; IC 1.09 to 1.32, P<0.001). CONCLUSION: Although suboptimal, IVC in incident GCA was statistically better than controls.


Subject(s)
Giant Cell Arteritis/epidemiology , Influenza, Human/prevention & control , Vaccination Coverage/statistics & numerical data , Vaccination/statistics & numerical data , Aged , Aged, 80 and over , Case-Control Studies , Female , France/epidemiology , Humans , Incidence , Influenza, Human/epidemiology , Male , Retrospective Studies , Risk Factors , Vaccination/standards , Vaccination Coverage/standards
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